Impact Factor 3.201 | CiteScore 3.22
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Fractal and Network Physiology is dedicated to publishing and disseminating new and significant findings in this rapidly expanding field. The last 20 years has witnessed exponential growth in both the methods and theoretical constructs available to study human physiology leading to original insights into health and disease. Over this period the research in fractal physiology has been published in the scientific diaspora, without a recognized home. Fractal Physiology is devoted to the many aspects of experimental design, model building, data analysis and theoretical interpretation of complex physiologic networks and would provide such a home. Fractals in anatomical structure, in the dynamics of control networks and in the statistics of physiological time series have proven to be of fundamental importance for understanding the complexity of physiologic networks. This fresh perspective provides an understanding of physiological mechanisms and how these mechanisms might be altered in disease states. The specialty section places particular emphasis on indentifying and interpreting fractality by means of scaling of complex physiologic phenomena as manifest in structure, time series and dynamics. We encourage submissions that address key questions addressing the structure, functions and activities of organs, tissue and cells, which reveal the coupling across space/time scales, as well as the communication within and between functional and regulatory networks. We encourage molecular, cellular and psychophysical studies: investigations of tissue, organ and network functions, and analyses of complex response and clinical problems resulting from physiological dysfunction. Mathematical models at all levels of sophistication are welcome, from the psychophysical, motivated by direct simulation or emulation of phenomena, to the rigorous application of the mathematics of complex networks.
Indexed in: PubMed, PubMed Central, Scopus, Web of Science, Google Scholar, DOAJ, CrossRef, Chemical Abstracts Service (CAS), EMBASE, Semantic Scholar, Ulrich's Periodicals Directory, Science Citation Index Expanded, CLOCKSS, EBSCO, OpenAIRE, Zetoc
PMCID: all published articles receive a PMCID
Fractal and Network Physiology welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Specialty Grand Challenge, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Fractal and Network Physiology, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Fractal and Network Physiology will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Physiology.
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